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卵丘细胞基因表达的差异表明了预成熟步骤对提高体外牛胚胎生产的益处。

Differences in cumulus cell gene expression indicate the benefit of a pre-maturation step to improve in-vitro bovine embryo production.

作者信息

Dieci Cecilia, Lodde Valentina, Labreque Rémi, Dufort Isabelle, Tessaro Irene, Sirard Marc-André, Luciano Alberto M

机构信息

Reproductive and Developmental Biology Laboratory, Department of Health, Animal Science and Food Safety, University of Milan, Via Celoria 10, 20133 Milan, Italy.

Centre de Recherche en Biologie de la Reproduction, Département des Sciences Animales, Université Laval, 2440, boulevard Hochelaga, Québec, (Québec) G1V 0A6, Canada.

出版信息

Mol Hum Reprod. 2016 Dec;22(12):882-897. doi: 10.1093/molehr/gaw055. Epub 2016 Aug 24.

Abstract

STUDY QUESTION

Does the gene expression profile of cumulus cells (CC) accompanying oocytes with different degrees of chromatin compaction within the germinal vesicle (GV) reflect the oocyte's quality and response in culture during in-vitro embryo production (IVP).

SUMMARY ANSWER

The transcriptomic profile of the CC is related to oocyte competence, setting the stage for the development of customized pre-maturation strategies to improve IVP.

WHAT IS KNOWN ALREADY

Oocytes complete the acquisition of their competence during antral follicle development. During this period, the chromatin configuration within the GV changes dynamically and is indicative of oocyte's developmental potential. The interactions between somatic and germ cells modulate chromatin morphology and function and are critical for acquisition of oocyte competence.

STUDY DESIGN, SIZE, DURATION: Bovine cumulus-oocyte complexes (COC) were isolated from 0.5 to 6 mm antral follicles. Surrounding CC were separated from the oocyte and classified as GV0, GV1, GV2 and GV3 according to the degree of the oocyte's chromatin compaction.

PARTICIPANTS/MATERIALS, SETTING, METHOD: RNA extracted from CC of each group was amplified and hybridized on a bovine embryo-specific 44 K Agilent slide. The CC_GV1, CC_GV2 and CC_GV3 classes were each hybridized against the CC_GV0 class, representing an early oocyte differentiation stage with poor development competence. The data were normalized and fold changes of the differentially expressed genes were determined. Microarray data were validated using quantitative RT-PCR on selected targets. Microarray data were further analyzed through: (i) between-group analysis (BGA), which classifies the samples according to their transcriptomic profiles; (ii) cluster analysis according to the expression profile of each gene; and (iii) Ingenuity Pathway Analysis (IPA) to study gene regulation patterns and predicted functions. Furthermore, CC of each GV group were cultured and apoptotic cells were assessed after 3 h by caspase analysis. Finally, based on the analysis of CC transcriptomic profiles and the relationship between morphological features of the COC and the oocyte chromatin configuration, a customized, stage-dependent oocyte pre-maturation (pre-IVM) system was used to improve oocyte developmental potential before IVM. For this, the blastocyst rate and quality were assessed after in-vitro maturation and fertilization of pre-matured oocytes.

MAIN RESULTS AND THE ROLE OF CHANCE

Overall, quantitative RT-PCR results of a subset of five selected genes were consistent with the microarray data. Clustering analysis generated 16 clusters representing the main profiles of transcription modulation. Of the 5571 significantly differentially expressed probes, the majority (25.49%) best fitted with cluster #6 (downregulation between CC_GV0 and CC_GV1 and stable low levels in successive groups). IPA identified the most relevant functions associated with each cluster. Genes included in cluster #1 were mostly related to biological processes such as 'cell cycle' and 'cell death and survival', whereas genes included in cluster #5 were mostly related to 'gene expression'. Interestingly, 'lipid metabolism' was the most significant function identified in clusters #6, #9 and #12. IPA of gene lists obtained from each contrast (i.e., CC_GV0 vs. CC_GV1; CC_GV0 vs. CC_GV2; CC_GV0 vs. CC_GV3) revealed that the main affected function in each contrast was 'cell death and survival'. Importantly, apoptosis was predicted to be inhibited in CC_GV1 and CC_GV2, but activated in CC_GV3. Caspase analysis indicated that a low percentage of CC_GV0 was prone to undergo apoptosis but apoptosis increased significantly in CC from oocytes with condensed chromatin, reaching a peak in CC_GV3 (P < 0.05). Finally, the tailored oocyte pre-maturation strategy, based on morphological features of the COC and the oocyte chromatin configuration, demonstrated that pre-IVM improved the developmental capability of oocytes at early stages of differentiation (GV1-enriched COC) but was detrimental for oocytes at more advanced stages of development (GV2 and GV3-enriched COC).

LARGE SCALE DATA

The data are available through the GEO series accession number GSE79886.

LIMITATIONS, REASONS FOR CAUTION: This study was conducted with bovine samples. Whether or not the results are applicable to human oocytes requests further elucidation. Embryo transfer experiments are required to determine whether the improvement in blastocyst rates in the tailored system leads to increased live birth rates.

WIDER IMPLICATIONS OF THE FINDINGS

The identification of multiple non-invasive biomarkers predictive of oocyte quality can greatly strengthen the pre-IVM approach aimed to improve IVM outcomes. These results have potentially important implications in treating human infertility and in developing breeding schemes for domestic mammals.

STUDY FUNDING/COMPETING INTERESTS: This work was supported in part by NSERC Strategic Network EmbryoGENE, Canada and in part by CIG-Marie Curie Actions-Reintegration Grants within the EU 7FP (n. 303640, 'Pro-Ovum'). The authors declare no potential conflict of interest.

摘要

研究问题

在体外胚胎生产(IVP)过程中,与不同程度生发泡(GV)染色质致密化的卵母细胞相伴的卵丘细胞(CC)的基因表达谱是否能反映卵母细胞的质量及培养反应?

简要回答

CC的转录组谱与卵母细胞的能力相关,为开发定制的提前成熟策略以改善IVP奠定了基础。

已知信息

卵母细胞在有腔卵泡发育过程中完成其能力的获得。在此期间,GV内的染色质构型动态变化,并指示卵母细胞的发育潜力。体细胞与生殖细胞之间的相互作用调节染色质形态和功能,对卵母细胞能力的获得至关重要。

研究设计、规模、持续时间:从0.5至6毫米的有腔卵泡中分离牛卵丘-卵母细胞复合体(COC)。将围绕的CC与卵母细胞分离,并根据卵母细胞染色质致密化程度分为GV0、GV1、GV2和GV3。

参与者/材料、环境、方法:从每组CC中提取的RNA进行扩增,并与牛胚胎特异性44K安捷伦玻片杂交。将CC_GV1、CC_GV2和CC_GV3组分别与CC_GV0组杂交,CC_GV0组代表发育能力较差的早期卵母细胞分化阶段。对数据进行归一化处理,并确定差异表达基因的倍数变化。使用定量RT-PCR对选定靶点验证微阵列数据。通过以下方式进一步分析微阵列数据:(i)组间分析(BGA),根据转录组谱对样本进行分类;(ii)根据每个基因的表达谱进行聚类分析;(iii) Ingenuity通路分析(IPA)以研究基因调控模式和预测功能。此外,培养每个GV组的CC,并在3小时后通过半胱天冬酶分析评估凋亡细胞。最后,基于对CC转录组谱的分析以及COC形态特征与卵母细胞染色质构型之间的关系,使用定制的、阶段依赖性的卵母细胞提前成熟(IVM前)系统来提高IVM前卵母细胞的发育潜力。为此,在对提前成熟的卵母细胞进行体外成熟和受精后评估囊胚率和质量。

主要结果及机遇的作用

总体而言,五个选定基因子集的定量RT-PCR结果与微阵列数据一致。聚类分析产生了16个代表转录调控主要谱型的簇。在5571个显著差异表达的探针中,大多数(25.49%)最符合簇#6(CC_GV0和CC_GV1之间下调,在后续组中稳定处于低水平)。IPA确定了与每个簇相关的最相关功能。簇#1中包含的基因大多与“细胞周期”和“细胞死亡与存活”等生物学过程相关,而簇#5中包含的基因大多与“基因表达”相关。有趣的是,“脂质代谢”是在簇#6、#9和#12中确定的最显著功能。从每个对比(即CC_GV0与CC_GV1;CC_GV0与CC_GV2;CC_GV0与CC_GV3)获得的基因列表的IPA显示,每个对比中主要受影响的功能是“细胞死亡与存活”。重要的是,预测凋亡在CC_GV1和CC_GV2中受到抑制,但在CC_GV3中被激活。半胱天冬酶分析表明,低比例的CC_GV0易于发生凋亡,但染色质浓缩的卵母细胞的CC中凋亡显著增加,在CC_GV3中达到峰值(P<0.05)。最后,基于COC的形态特征和卵母细胞染色质构型的定制卵母细胞提前成熟策略表明,IVM前处理提高了分化早期(富含GV1的COC)卵母细胞的发育能力,但对发育更晚期(富含GV2和GV3的COC)的卵母细胞有害。

大规模数据

数据可通过GEO系列登录号GSE79886获得。

局限性、谨慎原因:本研究使用牛样本进行。结果是否适用于人类卵母细胞需要进一步阐明。需要进行胚胎移植实验以确定定制系统中囊胚率的提高是否导致活产率增加。

研究结果的更广泛影响

鉴定多个预测卵母细胞质量的非侵入性生物标志物可极大地加强旨在改善IVM结果的IVM前方法。这些结果对治疗人类不孕症和制定家养哺乳动物育种方案具有潜在的重要意义。

研究资金/利益冲突:本工作部分得到加拿大自然科学与工程研究理事会战略网络EmbryoGENE的支持,部分得到欧盟第七框架计划内的玛丽·居里行动再融合资助(项目编号303640,“Pro-Ovum”)。作者声明无潜在利益冲突。

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